Qualifications
Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), strong programming skills in Python, experience with recommendation systems, and a solid understanding of AI/ML concepts. A degree in Computer Science, Data Science, or a related field is preferred. A passion for improving user experiences and a collaborative mindset are essential.
About the job
Join Hinge: The Dating App Designed to Be Deleted
In today’s fast-paced digital landscape, forging authentic relationships can be a challenge. At Hinge, our goal is to foster genuine connections that combat loneliness and enrich lives. We analyze user behaviors to facilitate meaningful relationships, and our success is measured by one key outcome – creating unforgettable dates. With a global user base in the millions, we are proud to be the most trusted platform for finding love.
About the Role:
The Dating Outcomes team plays a crucial role in ensuring users encounter their most compatible matches, empowering them to present their best selves, and sparking meaningful dialogues upon matching. In essence, we are dedicated to helping users enjoy outstanding dates!
We are in search of talented Machine Learning Engineers who will contribute to the development of an AI-driven dating experience, utilizing cutting-edge advancements in the field, along with Hinge’s extensive preference data. You will engage in end-to-end modeling tasks, including crafting recommendation systems, implementing multi-modal embeddings, and developing generative models. Your research will transition into production, impacting both offline and real-time inference endpoints, directly influencing the experiences of millions of users. As a member of our rapidly expanding team, you will have the unique opportunity to collaborate with and learn from seasoned researchers and engineers.
About Hinge
Hinge is a pioneering dating app on a mission to cultivate meaningful relationships and reduce loneliness through genuine connections. With millions of users worldwide, we leverage data-driven insights to enhance the dating experience, making it more effective and enjoyable.